Embedded Meta-Learning: Toward more flexible deep-learning models
By Andrew Kyle Lampinen, James L. McClelland. 2019
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Christian Henning
- Johannes von Oswald
- Benjamin F. Grewe
- João Sacramento
- Gyuhak Kim
- Zixuan Ke
- Yiduo Guo
- Changnan Xiao
Citations in the corpus
- Continual learning with hypernetworks (2019, background): “Interestingly, similar arguments have been drawn in work developed concurrently to ours (Lampinen & McClelland, 2019), where task embedding spaces are further explored in the context of few-shot learning.”